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Vikrant Singhal

Not All Learnable Distribution Classes are Privately Learnable

Feb 05, 2024
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Private Distribution Learning with Public Data: The View from Sample Compression

Aug 14, 2023
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A Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions

Apr 19, 2023
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A Bias-Variance-Privacy Trilemma for Statistical Estimation

Jan 30, 2023
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Private Estimation with Public Data

Aug 16, 2022
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New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma

May 18, 2022
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A Private and Computationally-Efficient Estimator for Unbounded Gaussians

Nov 08, 2021
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Privately Learning Subspaces

May 28, 2021
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Private Mean Estimation of Heavy-Tailed Distributions

Feb 21, 2020
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Differentially Private Algorithms for Learning Mixtures of Separated Gaussians

Oct 15, 2019
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